Overview

Column

Diabetes Prevalence by Age Group

🔹 Key Takeaways

  • Diabetes prevalence increases significantly with age.
  • Individuals aged 60 years and older have the highest diabetes rates.
  • Prediabetes remains relatively low across all age groups, which may indicate underdiagnosis or underreporting.

Column

BMI Distribution by Diabetes Status

🔹 Key Takeaways

  • Individuals with diabetes tend to have higher median BMI than those without diabetes.
  • Higher BMI values are strongly associated with an increased risk of diabetes.
  • Outliers with extreme BMI (>80) were removed to enhance visualization clarity.

Interactive Data Table

🔹 Key Takeaways

  • The table allows users to search, filter, and explore diabetes health indicators interactively.
  • Filtering for higher BMI values (e.g., BMI > 30) can reveal potential patterns in diabetes prevalence.

Dataset

Dataset Description

  • Source: Diabetes Health Indicators Dataset on Kaggle
  • Sample Size: 253,680 records
  • Data Collection Method: Survey responses collected by the Behavioral Risk Factor Surveillance System (BRFSS) in 2015.
  • Study Population: Adults aged 18 years and older living in the United States.
  • Time Period: Data collected during the 2015 calendar year.

About

Project Importance

This dashboard provides interactive insights into key risk factors for diabetes.
It helps public health practitioners design targeted interventions to reduce diabetes prevalence.


Source Code Repository

You can view the full source code for this dashboard on GitHub:
GitHub Repository Link